feuse of its devstting eets in utions nd other mehnismsD ollusion is prohiited nd leglly proseutedF etD olluders hve lwys existedD nd my ontinue to existF e thus rise the followin...
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
—The vision of the Semantic Web has brought about new challenges at the intersection of web research and data management. One fundamental research issue at this intersection is t...
Many stateful services use the replicated state machine approach for high availability. In this approach, a service runs on multiple machines to survive machine failures. This pap...
Jacob R. Lorch, Atul Adya, William J. Bolosky, Ron...
Abstract. This work extends studies of Angluin, Lange and Zeugmann on the dependence of learning on the hypotheses space chosen for the class. In subsequent investigations, uniform...